Browse All Artificial Intelligence Content (1108)

Allison summarizes weekly GitHub Copilot updates across the Copilot app, Copilot CLI, and VS Code, focusing on session workflows, side questions, model/credit visibility, and new review and feedback capabilities that help developers stay in context while iterating on changes.

Allison announces a new “Potential return on investment” section in the GitHub Copilot impact dashboard, helping admins relate Copilot spend (based on AI credit consumption) to pull request output and adoption phases, with updated cohort counting across the full 28-day reporting window.

Microsoft Developer shares a 2-minute weekly roundup covering an AI agent preview in Visual Studio built on the GitHub Copilot SDK, plus Azure AI Foundry model updates and the MCP C# SDK 2.0 release with stateless-first communication and improved interoperability.

Allison announces general availability of Lite and Balanced effort levels for GitHub Copilot code review, letting teams tune review depth per pull request and set organization-wide defaults that repositories can inherit.

Allison announces an update to the GitHub Copilot usage metrics API that adds per-agent reporting for third-party agent apps (such as Claude and Codex) used in GitHub workflows. The change introduces a new totals_by_3rd_party_agent array and clarifies how to interpret the new counters alongside existing telemetry fields.

Shamir AbdulAziz lays out a practical operating model for “Zero Ops” using Azure SRE Agent: agents handle investigation and remediation work, while humans focus on intent, governance, and outcome review. The post breaks down how to scope agents, connect context, build repeatable artifacts, and safely graduate from human-in-the-loop to autonomy.

Microsoft Developer introduces the Microsoft Quantum Development Kit (QDK), an open-source platform for building quantum applications across Q#, Python, OpenQASM, Qiskit, and Cirq, with QIR support plus integrated simulation and resource estimation tools, and AI-powered assistance in VS Code and GitHub Copilot.

John Savill runs through the 7th August 2026 Azure update, covering changes across compute, networking, security, storage, SQL, and Databricks—highlighting VM defaults and retirements, new routing and proxy capabilities, Private Link over IPv6, and several Databricks and Azure SQL enhancements.

Allison explains a GitHub Code Quality change: enabling Code Quality no longer creates a ruleset that automatically requests GitHub Copilot code review on pull requests, and existing auto-created rulesets have had those settings turned off.

GitHub covers stacked pull requests (now in public preview), a security incident involving an OpenAI test model accessing Hugging Face servers, and a pixel-art “Isometric NYC” project built with 3D tiles and image generation models.

John Edward covers a Microsoft Defender update that surfaces AI-generated Microsoft Purview Insider Risk Management triage summaries directly in the Defender alert queue, helping SOC analysts and insider risk investigators triage alerts faster while keeping the full investigation workflow in Purview.

Mark Russinovich explains how he used AI-assisted coding to port the long-running Sysinternals ZoomIt tool from Windows to macOS in two days, including a walkthrough of ZoomIt’s core presentation features and a demo of the new Demo Mirror capability for sharing content while staying in PowerPoint Presenter View.

Allison announces a generally available GitHub Copilot enterprise control that lets owners allowlist or denylist Model Context Protocol (MCP) servers via managed settings, helping teams approve trusted MCP endpoints and block untrusted or non-compliant ones across supported Copilot clients.

sbaynes outlines an Azure-native reference architecture for deploying Fireworks AI open-model inference on Azure AI Foundry, with guidance on moving from prototype to production while tracking latency, token usage, and cost. The post highlights optional platform components for caching, rate limiting, secrets management, and observability.

Jacklyn Carroll explains how slash commands in the GitHub Copilot app speed up common workflows like planning, pressure-testing designs, and delegating multi-step implementation work, with concrete examples you can paste into Copilot to get started.

James Montemagno gives a first look at using Kimi K3 (Moonshot’s open-weight model) inside GitHub Copilot in VS Code, focusing on what it enables for agentic coding and how developers can start trying it in their editor workflow.

Walker Chabbott announces that the open-weight Kimi K3 model is now generally available in GitHub Copilot, including where it can be selected, how it’s billed under usage-based pricing, and what Copilot Business/Enterprise admins need to do to enable it.

Sameen Karim demonstrates GitHub’s stacked pull requests workflow, showing how to split large feature branches into smaller PR layers, work with stacks from the GitHub CLI using the gh-stack extension, and merge an entire stack efficiently while using Copilot to help generate tests.

Mike Hulme explains why Microsoft was named a Leader in Gartner’s 2026 Magic Quadrant for AI-augmented code modernization tools, and outlines how GitHub Copilot modernization and Azure are positioned to assess, upgrade, and migrate legacy applications with agentic workflows while keeping developers in control.

Fokko at Work demos selected new features in Visual Studio Code 1.132 that affect day-to-day Copilot Chat and editor workflows, including tracking session activity from the chat input, starting side chats with /btw, terminal output reflow, and dictation onboarding/customization, with notes on enterprise policy and plan-based availability.

Jatin Garg explains how to choose between Microsoft Foundry and PyRIT for AI red teaming, framing the decision around whether you’re testing a model in a managed Foundry/Azure OpenAI surface or attacking a full RAG/agent application with custom endpoints and orchestration.

Bruno Capuano, Pranav Senthilnathan, and Tarek Mahmoud Sayed walk through MCP C# SDK 2.0 and what its stateless-first approach means for building .NET AI agents, including standardized HTTP support, multi round-trip requests, and compatibility considerations, plus an overview of Microsoft Foundry Hosted Agents for scalable AI solutions.

Mine Starks demonstrates the Quantum Development Kit (QDK) learning experience in VS Code, showing how guided lessons and hands-on Q# exercises are paired with GitHub Copilot assistance to help developers learn quantum computing fundamentals and progress into algorithms like Grover’s and Shor’s.

Ran Rosin summarizes why KuppingerCole named Microsoft a Leader in its 2026 CNAPP Leadership Compass, and what that says about where cloud security is heading: unified risk management across cloud infrastructure, identities, data, applications, and AI, with runtime-driven prioritization and SOC integration.

Microsoft Developer shares Shireesh Thota’s perspective on turning “data everywhere” into usable intelligence by bringing data together, adding context, and applying AI on top—framed as an architecture discussion rather than a single feature walkthrough.

GitHub shows how Dan, a senior corporate counsel, uses GitHub Copilot CLI to verify AI-generated analysis by grounding outputs in source documents. The video highlights a custom Copilot CLI skill (“Eyeball”) that embeds inline screenshots to help reviewers validate clauses and act on AI outputs with more confidence.

Dan Hellem announces the general availability of the Azure DevOps Remote MCP Server, explaining how AI assistants can securely connect to Azure DevOps via a hosted endpoint. The post covers the minimal mcp.json setup, Entra ID authentication requirements, current client support, and when to use the local MCP server instead.

Lee Stott introduces Microsoft’s end-to-end agent platform (now GA) using the FibreOps reference implementation: build agents with the Microsoft Agent Framework and GitHub Copilot SDK, run them as hosted agents in Microsoft Foundry Agent Service, and distribute them to Teams and Microsoft 365 Copilot, with evaluation, routines, memory, and observability.

Authorised Territory demonstrates a .NET MCP server pattern where a tool call starts a background task and returns a task handle instead of an immediate result, while a .NET client polls the server every second until the final output is available.

Bruno Capuano shows how to build a Windows-only C# console app that performs live speech-to-text locally using Foundry Local and a compact Nemotron streaming ASR model, including model lifecycle management (download/cache/load/unload) and real-time interim/final transcription via async streams.

Allison announces that the GitHub Copilot Billing Preview app has been retired and explains how to manage Copilot spend directly in GitHub billing settings, including viewing AI usage, setting budgets, and exporting or pulling raw usage data via reports and the billing API.

Victoria shares how she built an internal “Innovation Marketplace” for the GitHub legal team using GitHub Copilot CLI, from planning and tracking work in GitHub Issues to deploying with GitHub Actions and GitHub Pages.

Bria Ford shares how GitHub’s legal team used GitHub Copilot CLI to turn repetitive legal work into repeatable, repo-backed workflows—ranging from contract drafting style guides to DMCA code-analysis playbooks—while keeping human judgment central.

James Montemagno introduces VS Code 1.131’s built-in dictation feature, showing how developers can speak directly into chat, editors, and the terminal without installing extensions, with an emphasis on privacy via on-device transcription and an optional AI cleanup step for more readable output.

Ron Pessner announces updates to Microsoft’s Zero Trust for AI approach, including new AI-focused checks in the Zero Trust Assessment, a DevSecOps pillar in the Zero Trust Workshop, and a companion e-book with practical patterns for securing AI agents, AI memory, and the software supply chain.

Giles Odigwe announces the stable release of the GitHub Copilot Agent for Microsoft Agent Framework in .NET and Python, showing how to use Copilot’s coding harness (shell, file, URL, and MCP tools) with Agent Framework features like middleware, streaming, OpenTelemetry tracing, and human-in-the-loop approvals.

Julia Muiruri explains how to turn a single, oversized AI-generated pull request into a clean stack of smaller PRs using GitHub stacked pull requests and the gh-stack CLI, with a practical example and reviewer-focused guidance for keeping CI and merge rules working across the whole stack.

Allison announces the retirement timeline for GitHub Spark on github.com, including key dates, what happens to existing deployed apps, and what builders need to do to keep editing their apps after shutdown. The post also explains the impact of the earlier GitHub Models retirement on Spark apps that call llm().

GitHub walks through the My work tab in the GitHub Copilot app, showing how to manage issues and pull requests across repositories with default and custom views, filters, and layout options, and how to start agent sessions directly from work items.

John Savill recaps major Microsoft AI updates from July 2026, including new and updated models, Azure AI Foundry changes, and GitHub Copilot feature additions such as new “harness” options, @-mentioning app agents, and browser tools for Copilot in VS Code.